2018
DOI: 10.1103/physreva.97.032335
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Quantum error correction of continuous-variable states with realistic resources

Abstract: Gaussian noise induced by loss on Gaussian states may be corrected by distributing Einstein-Podolsky-Rosen entanglement through the loss channel, purifying the entanglement using a noiseless linear amplifier (NLA), and then using it for continuous-variable teleportation of the input state. Linear optical implementations of the NLA unavoidably introduce small amounts of excess noise and detection, and source efficiency will be limited in current implementations. In this paper, we analyze the error-correction pr… Show more

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Cited by 27 publications
(32 citation statements)
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“…The calculation also applies to the teleportation-based CV error correction scheme with approximate NLA [34], and is computationally efficient. This is in contrast to the Fock basis calculations presented in [32,33], which do not scale well with increasing number of quantum scissors. Our choice of the RCI as the figure of merit is operationally more relevant than those considered before, such as the logarithmic negativity [47,48] and the entanglement of formation (EOF) [49].…”
Section: Introductioncontrasting
confidence: 98%
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“…The calculation also applies to the teleportation-based CV error correction scheme with approximate NLA [34], and is computationally efficient. This is in contrast to the Fock basis calculations presented in [32,33], which do not scale well with increasing number of quantum scissors. Our choice of the RCI as the figure of merit is operationally more relevant than those considered before, such as the logarithmic negativity [47,48] and the entanglement of formation (EOF) [49].…”
Section: Introductioncontrasting
confidence: 98%
“…9 (a), the quantity q 1 is plotted, where it has been optimized over a classical gain tuning parameter that scales the dual homodyne outcome prior to the displacement correction operation. We find that our curve for the N = 1−NLA is qualitatively similar, but below what was reported in [33] for the same. This is as expected, since we have consid- Figure 10.…”
Section: Resultssupporting
confidence: 74%
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